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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 57 1 Learning Disentangled Representations of Negation and Uncertainty ... Vasilakes, Jake; Zerva, Chrysoula; Miwa, Makoto. - : arXiv, 2022 BASE Show details 2 Natural language processing applied to mental illness detection: a narrative review Zhang, Tianlin; Schoene, Annika M.; Ji, Shaoxiong... In: NPJ Digit Med (2022) BASE Show details 3 Investigating Text Simplification Evaluation ... Vásquez-Rodríguez, Laura; Shardlow, Matthew; Przybyła, Piotr. - : arXiv, 2021 BASE Show details 4 Investigating Text Simplification Evaluation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Ananiadou, Sophia; Przybyła, Piotr. - : Underline Science Inc., 2021 BASE Show details 5 Towards BERT-based Automatic ICD Coding: Limitations and Opportunities Pascual, Damian; Wattenhofer, Roger; Luck, Sandro In: Proceedings of the 20th Workshop on Biomedical Language Processing (2021) BASE Show details 6 BioVAE: a pre-trained latent variable language model for biomedical text mining Trieu, Hai-Long; Miwa, Makoto; Ananiadou, Sophia In: Bioinformatics (2021) BASE Show details 7 Hypothesis, analysis and synthesis: it’s all Greek to me! ... Iliopoulos, Ioannis; Ananiadou, Sophia; Danchin, Antoine. - : figshare, 2020 BASE Show details 8 Hypothesis, analysis and synthesis: it’s all Greek to me! ... Iliopoulos, Ioannis; Ananiadou, Sophia; Danchin, Antoine. - : figshare, 2020 BASE Show details 9 Hypothesis, analysis and synthesis: it’s all Greek to me! ... Iliopoulos, Ioannis; Ananiadou, Sophia; Danchin, Antoine. - : figshare, 2020 BASE Show details 10 Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks ... Li, Maolin; Myrman, Arvid Fahlström; Mu, Tingting. - : arXiv, 2019 BASE Show details 11 Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network ... Sahu, Sunil Kumar; Christopoulou, Fenia; Miwa, Makoto. - : arXiv, 2019 BASE Show details 12 Hypothesis, analysis and synthesis: it’s all Greek to me! ... Iliopoulos, Ioannis; Ananiadou, Sophia; Danchin, Antoine. - : figshare, 2019 BASE Show details 13 Improving reference prioritisation with PICO recognition Brockmeier, Austin J.; Ju, Meizhi; Przybyła, Piotr; Ananiadou, Sophia. - : BioMed Central, 2019 Abstract: BACKGROUND: Machine learning can assist with multiple tasks during systematic reviews to facilitate the rapid retrieval of relevant references during screening and to identify and extract information relevant to the study characteristics, which include the PICO elements of patient/population, intervention, comparator, and outcomes. The latter requires techniques for identifying and categorising fragments of text, known as named entity recognition. METHODS: A publicly available corpus of PICO annotations on biomedical abstracts is used to train a named entity recognition model, which is implemented as a recurrent neural network. This model is then applied to a separate collection of abstracts for references from systematic reviews within biomedical and health domains. The occurrences of words tagged in the context of specific PICO contexts are used as additional features for a relevancy classification model. Simulations of the machine learning-assisted screening are used to evaluate the work saved by the relevancy model with and without the PICO features. Chi-squared and statistical significance of positive predicted values are used to identify words that are more indicative of relevancy within PICO contexts. RESULTS: Inclusion of PICO features improves the performance metric on 15 of the 20 collections, with substantial gains on certain systematic reviews. Examples of words whose PICO context are more precise can explain this increase. CONCLUSIONS: Words within PICO tagged segments in abstracts are predictive features for determining inclusion. Combining PICO annotation model into the relevancy classification pipeline is a promising approach. The annotations may be useful on their own to aid users in pinpointing necessary information for data extraction, or to facilitate semantic search. Keyword: Technical Advance URL: https://doi.org/10.1186/s12911-019-0992-8 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6896258/ http://www.ncbi.nlm.nih.gov/pubmed/31805934 BASE Hide details 14 Improving clinical named entity recognition in Chinese using the graphical and phonetic feature Wang, Yifei; Ananiadou, Sophia; Tsujii, Jun’ichi. - : BioMed Central, 2019 BASE Show details 15 Identification of research hypotheses and new knowledge from scientific literature ... Shardlow, Matthew; Batista-Navarro, Riza; Thompson, Paul. - : Figshare, 2018 BASE Show details 16 Identification of research hypotheses and new knowledge from scientific literature ... Shardlow, Matthew; Batista-Navarro, Riza; Thompson, Paul. - : Figshare, 2018 BASE Show details 17 Hypothesis, analysis and synthesis: it’s all Greek to me! ... Iliopoulos, Ioannis; Ananiadou, Sophia; Danchin, Antoine. - : figshare, 2018 BASE Show details 18 Constructing a biodiversity terminological inventory Nguyen, Nhung T. H.; Soto, Axel J.; Kontonatsios, Georgios. - : Public Library of Science, 2017 BASE Show details 19 Distributed Document and Phrase Co-embeddings for Descriptive Clustering Kontonatsios, Georgios; Sato, Motoki; Mu, Tingting. - : Association for Computational Linguistics, 2017 BASE Show details 20 Enriching news events with meta-knowledge information [<Journal>] Thompson, Paul [Verfasser]; Nawaz, Raheel [Sonstige]; McNaught, John [Sonstige]. DNB Subject Category Language Show details Page: 1 2 3

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